Llama 3 SEC Chat is an open-source language model by arcee-ai. Features: 70.6b LLM, VRAM: 141.9GB, Context: 8K, License: llama3, LLM Explorer Score: 0.16.
In-depth investment analysis and decision support, Comprehensive risk management and assessment, Ensuring regulatory compliance and identifying potential violations, Studying corporate governance practices and promoting transparency, Conducting market research and tracking industry trends
Additional Notes
Llama-3-SEC is compliant with system prompts and should not mention its lack of real-time information.
Training Details
Data Sources:
SEC_filings
Data Volume:
72B tokens of SEC filings data mixed with 1B tokens from RedPajama-Data-1T
Methodology:
Continual Pre-Training (CPT) using Megatron-Core, followed by model merging with TIES merging technique and supervised fine-tuning on an 8xH100 node using Spectrum.
Hardware Used:
AWS SageMaker HyperPod cluster with 4 nodes, each with 32 H100 GPUs
Release Notes
Version:
20B token checkpoint
Notes:
Initial checkpoint release, model still undergoing training.
Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Llama-3-SEC-Chat.
Rank the Llama 3 SEC Chat Capabilities
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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation
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